Study on Bus Passenger Capacity Forecast Based on Regression Analysis Including Time Series
The passenger capacity in public transit is important to urban road and transportation planning. Passenger volume is influenced by multiple factors and unable to be described with accurate mathematical models. Regression analyses predict and time-series data analysis for forecasting are two important prediction models. These two models have characteristics of each. In this paper, time-series data was blend into regression analyses predict. Integrated the two forecasting methods, this paper combined the merits between them. Bus passenger capacity forecast model based on regression analysis including time series is put forward in this paper. This model better reflects the practical condition of bus passenger. The model passes through all tests. By analyzing the historic data of passenger volume of Xian, we study on bus passenger capacity forecast based on regression analysis including time series. The new model is fitting practical data more preferable.
prediction regression analysis transit traffic least squares technique time-series data
SUN Wen-xia SONG Ti ZHONG Hai
School of Management,Tianjin University Tianjin,China School of Civil Engineering,Hebei University of Technology Tianjin,China
国际会议
长沙
英文
1325-1328
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）